Wind velocity data interpolation using a weighted cubic spline

To predict meteorological conditions, it is essential to construct interpolating functions considering the nature of data. The paper addresses an algorithm for constructing a weighted cubic spline that preserves monotonicity implementation this shown through example wind velocity data interpolation when required maintain positivity values. Wind always takes positive values, and its minimum value can be very close zero. shows in such case construction ordinary result negative It presents several numerical examples proposed at different sets initial parameters makes possible draw comparison with simple MATLAB.